659 Open source projects that are alternatives of or similar to Book Nlp

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

Basic Utilities for PyTorch Natural Language Processing (NLP)

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

The Natural Language Decathlon: A Multitask Challenge for NLP

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Mishkal is an arabic text vocalization software

A pythonic wrapper for Stanford CoreNLP.

A Python library for doing bibliometric and network analysis in science and health policy research

Topic Modelling for Humans

Datasets, tools, and benchmarks for representation learning of code.

Tool for interactive embeddings visualization

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

📖 List of some awesome university courses for Machine Learning! Feel free to contribute!

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

💥 displaCy-ent.js: An open-source named entity visualiser for the modern web

🧬 A JupyterLab extension for annotating data with Prodigy

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

Botfuel SDK to build highly conversational chatbots

NLP: Convert Japanese Kana-kanji sentences into Kana-Roman in simple algorithm.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

How to build RNNs and LSTMs from scratch with NumPy.

A comparison tool of Japanese tokenizers

Sentiment analysis library for russian language

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

基于深度学习的自然语言处理库

🏖TagEditor - Annotation tool for spaCy

AI 算法岗简历模板

Abydos NLP/IR library for Python

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

A PureScript, browser-based implementation of LDA topic modeling.

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Examine two sentences and determine whether they have the same meaning.

Forte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/

Code associated with the Don't Stop Pretraining ACL 2020 paper

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

A Library to parse natural language in pure Clojure and ClojureScript

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

Word Embeddings for Information Retrieval

Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

A linux based Virtual assistant on Artificial Intelligence in C

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

Knowledge Base Question Answering using memory networks

💙 Emoji handling and meta data for spaCy with custom extension attributes

Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.

Korean spellchecking dictionary for Hunspell

A natural language date parser in Swift (ported from chrono.js)

All the slides, accompanying code and exercises all stored in this repo. 🎈

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Repository for Project Insight: NLP as a Service

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

Python library for Natural Language Preprocessing (NLPre)

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation